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[role="xpack"]
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[[ml-dataframes]]
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= Transforming data
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[partintro]
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--
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{transforms-cap} enable you to convert existing {es} indices into summarized
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indices, which provide opportunities for new insights and analytics. For example,
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you can use {transforms} to pivot your data into entity-centric indices that
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summarize the behavior of users or sessions or other entities in your data.
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* <<ml-transform-overview>>
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* <<ml-transforms-usage>>
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* <<df-api-quickref>>
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* <<dataframe-examples>>
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* <<dataframe-troubleshooting>>
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* <<dataframe-limitations>>
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--
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include::overview.asciidoc[]
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include::usage.asciidoc[]
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include::checkpoints.asciidoc[]
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include::api-quickref.asciidoc[]
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include::dataframe-examples.asciidoc[]
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include::troubleshooting.asciidoc[]
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include::limitations.asciidoc[]
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